A novel approach for SEMG signal classification with...

Medical and Biological Engineering and Computing 2016 / 7 Vol. 54; Iss. 7

A novel approach for SEMG signal classification with adaptive local binary patterns

Ertuğrul, Ömer Faruk, Kaya, Yılmaz, Tekin, Ramazan
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Volume:
54
Language:
english
Journal:
Medical & Biological Engineering & Computing
DOI:
10.1007/s11517-015-1443-z
Date:
July, 2016
File:
PDF, 996 KB
english, 2016
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